app.py

import gradio as gr
from transformers import pipeline

# Load your pre-trained model from Hugging Face
model = pipeline("text-classification", model="your-username/your-model-repo")

# Define the prediction function
def predict(text):
    return model(text)

# Create Gradio interface
interface = gr.Interface(
    fn=predict,            # The prediction function
    inputs="text",          # Input to your model (text, image, etc.)
    outputs="label",        # Output of your model (label, text, image, etc.)
    title="My Model",       # Title of the app
    description="This app predicts the category of customer support requests.",
)

# Launch the interface
interface.launch()